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Viso Suite

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Description

Viso Suite is the leading end-to-end computer vision infrastructure that enables teams to build, deploy, and scale AI vision applications faster and more effectively. From data collection to model training and deployment, Viso Suite provides a comprehensive platform for all stages of the AI lifecycle.

Product Feature

  • Viso Suite Economic Impact Study:
    • Proven to deliver faster time-to-value, higher return on investment, and lower total cost for AI vision projects.
  • Collect Data:
    • Automated data collection capabilities to gather high-quality training data for computer vision annotation.
    • Control and secure all data collection processes.
    • Enable continuous data collection to improve AI models.
  • Annotate Data:
    • Create high-quality datasets through automated and semi-automated labeling tools.
    • Collaborate with teams in a secure workspace.
  • Train AI Models:
    • Manage AI models of all frameworks in a unified platform.
    • Import pre-trained deep learning models or train custom AI models in modular environments.
    • Continuously improve AI models for optimal performance.
  • Develop Applications:
    • Build high-performance computer vision pipelines with modular building blocks.
    • Integrate existing systems seamlessly and future-proof your applications.
  • Deploy to the Edge:
    • Scale and deploy computer vision applications with built-in device management.
    • Enroll and manage a fleet of devices safely and efficiently.
    • Release applications in multiple environments.
  • Connect at IoT Scale:
    • Process video streams on-device with private Edge AI processing.
    • Robust, scalable, and low-latency Edge-Cloud connectivity for IoT-scale computer vision.
  • Monitor Analytics:
    • Real-time analytics with time-series databases and customizable dashboards.
    • Monitor detailed hardware metrics at the device level.
    • Integrate with BI systems using data connectors.
  • Maintain and Debug:
    • Implement fast and agile development strategies.
    • Detect issues early with diagnosis tools and automated health scans.
    • Resolve issues with remote troubleshooting and disaster recovery tools.
  • Secure and Protect:
    • Enterprise-grade security for the entire AI lifecycle.
    • Unified access management and authentication.
    • Protect AI models and applications from theft and vulnerabilities.

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